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Article

Genomic and Transcriptomic Characterization of Alternaria alternata during Infection

1
School of Grassland Science, Beijing Forestry University, Beijing 100083, China
2
Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
3
College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
4
College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China
5
Amity Institute of Microbial Technology, Amity University, Noida 201313, India
*
Authors to whom correspondence should be addressed.
Agronomy 2023, 13(3), 809; https://doi.org/10.3390/agronomy13030809
Submission received: 9 January 2023 / Revised: 5 March 2023 / Accepted: 6 March 2023 / Published: 10 March 2023
(This article belongs to the Special Issue Research Progress on Pathogenicity of Fungus in Crop)

Abstract

Host-pathogen interactions are the result of the continuously evolving dynamics of the genomic interphases between pathogens and the host plants. Alternaria brown spot (ABS) caused by the pathogen Alternaria alternata is a serious threat to tangerine production. Although recent studies have made significant advances in the characterization of A. alternata virulence factors, a gap exists in the regulation of virulent genes throughout the course of A. alternata infection on host plants. To gain a better understanding of the dynamic defense transcriptome in Alternaria alternata during Infection, we performed a comparative transcriptome approach. After inoculation on citrus, we found that 2142, 1964, 2359 genes were up-regulated, and 1948, 1434, 1996 genes were down-regulated at 12 hours-post-inoculation (hpi), 24 hpi and 48 hpi, respectively. Among these genes, 1333 genes were up-regulated at three time points, and 1054 genes were down-regulated, indicating that most of the differentially expressed genes at the early stage of infection tended to remain differentially expressed at the later stage of infection. In addition to the genes that are known to be part of the infection network in plant-pathogen interactions, many novel genes related to plant-pathogen interaction were identified. Interestingly, our results indicate that A. alternata is able to rapidly alter its gene expression pattern during infection process, which is vital for the successful colonization of the pathogen. Moreover, this rapid alteration of gene expression is likely to be an adaptive mechanism, enabling the pathogen to quickly respond to any changes in the environment and adapt to the host’s defense system. This ability to modify gene expression quickly in the face of environmental changes could play a critical role in the successful establishment of infection. RT-qPCR analysis confirmed that the expression pattern of nine randomly selected genes from the peroxisome pathway were consistent with the RNA-seq data. Our study provided a comprehensive study of the expression of genes during A. alternata infection of citrus, which may facilitate the understanding of host-plant interactions in A. alternata.
Keywords: Alternaria alternata; oxidative stress tolerance; host-pathogen interactions; transcriptome analysis; pathogenicity Alternaria alternata; oxidative stress tolerance; host-pathogen interactions; transcriptome analysis; pathogenicity

Share and Cite

MDPI and ACS Style

Gai, Y.; Niu, Q.; Kong, J.; Li, L.; Liang, X.; Cao, Y.; Zhou, X.; Sun, X.; Ma, H.; Wang, M.; et al. Genomic and Transcriptomic Characterization of Alternaria alternata during Infection. Agronomy 2023, 13, 809. https://doi.org/10.3390/agronomy13030809

AMA Style

Gai Y, Niu Q, Kong J, Li L, Liang X, Cao Y, Zhou X, Sun X, Ma H, Wang M, et al. Genomic and Transcriptomic Characterization of Alternaria alternata during Infection. Agronomy. 2023; 13(3):809. https://doi.org/10.3390/agronomy13030809

Chicago/Turabian Style

Gai, Yunpeng, Qichen Niu, Jinchao Kong, Lei Li, Xingxing Liang, Yuwei Cao, Xianqi Zhou, Xuepeng Sun, Haijie Ma, Mingshuang Wang, and et al. 2023. "Genomic and Transcriptomic Characterization of Alternaria alternata during Infection" Agronomy 13, no. 3: 809. https://doi.org/10.3390/agronomy13030809

APA Style

Gai, Y., Niu, Q., Kong, J., Li, L., Liang, X., Cao, Y., Zhou, X., Sun, X., Ma, H., Wang, M., Shrivastava, N., Li, H., & Jiao, C. (2023). Genomic and Transcriptomic Characterization of Alternaria alternata during Infection. Agronomy, 13(3), 809. https://doi.org/10.3390/agronomy13030809

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